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Develop ETL pipelines, manage cloud-based systems, monitor and support trading infrastructure for the Commodities desk at Qube Research & Technologies.

The Data Integration Specialist will manage extensive datasets for QRT's research and trading platform, contribute to data store design and API implementation, monitor data processes, integrate alternative datasets, and provide support to users such as Quants and Traders.

Contribute to financial data research by extracting and processing data from multiple sources like Bloomberg and S&P Capital IQ. Collaborate with traders and researchers to ensure accurate data access, track updates, and resolve discrepancies. Enhance data handling with Excel macros, VBA, and Python.

In this role, you will test alternative datasets collaboratively, automate predictive feature extraction using machine learning, manage the data science project lifecycle, apply various data methods, and work with quantitative researchers and data engineers.

As a Trading Support Analyst, you will provide business support for trading operations, ensuring accurate analysis and reporting of PnL and positions. You will enrich the internal Python codebase, maintain reporting systems, produce daily reports, and conduct performance analysis, while collaborating with teams across the organization.